Color Image Region Growth Segmentation Integration of Normalized Cut

被引：1

作者：

Wu Xiaoying ^{[1
]}

Ma Lijuan ^{[1
]}

Li Zhaofeng ^{[1
]}

Yan Shitao ^{[1
]}

机构：

[1] Henan Inst Sci & Technol, Sch Informat Engn, Henan 453003, Xinxiang, Peoples R China

来源：

SMART MATERIALS AND INTELLIGENT SYSTEMS, PTS 1 AND 2 | 2011年 / 143-144卷

关键词：

color image segmentation; region growth; Normalized Cut;

D O I：

10.4028/www.scientific.net/AMR.143-144.139

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper solves that image segmentation result is not consistent with human visual perception or too broken. First of all, based on the continuity of image features, appropriate human vision, calculated the similarity of color image pixel as Eq.2 in HSV space to grow region, then made the regional merge, using normalized-cut segmentation method as Eq.4 and Eq.5 to eliminate over-segmentation phenomenon. In this paper, experimental results shows that the segmentation can be achieved very good results as Fig.], and parts of the method can be applied in other segmentation to solve over segmentation. This method on color images as the research object is different from other methods on gray images, the selection of seeds and achieves these automatic that differ from general algorithms, presents a new implementation to solve over-segmentation.

引用

页码：139 / 142

页数：4